Data Mining Using Grammar Based Genetic Programming and Applications

Name: Data Mining Using Grammar Based Genetic Programming and Applications
Brand: Springer, Berlin
SKU: 9780792377467
Price: 3938 CZK
Availability: InStock

Autor: an Leung Wong, wong Sak Leung

Jazyk:

Vazba: Pevná

Vydavatel: Springer, Berlin

Dostupnost: Skladem u dodavatele v malém množství

Odesíláme za 13-18 dnů

3 938 Kč

Data mining involves the non-trivial extraction of implicit, previously unknown, and potentially use...

Informace o knize

Autor

an Leung Wong, wong Sak Leung

Jazyk

Angličtina

Vazba

Kniha - Pevná

Vydáno

2000

Stránek

214

EAN

9780792377467

ISBN

079237746X

Enbook ID

01397233

Vydavatel

Springer, Berlin

Hmotnost

1120

Rozměry

156 x 234 x 14

Kompletní popis

Data mining involves the non-trivial extraction of implicit, previously unknown, and potentially useful information from databases. Genetic Programming (GP) and Inductive Logic Programming (ILP) are two of the approaches for data mining. This book first sets the necessary backgrounds for the reader, including an overview of data mining, evolutionary algorithms and inductive logic programming. It then describes a framework, called GGP (Generic Genetic Programming), that integrates GP and ILP based on a formalism of logic grammars. The formalism is powerful enough to represent context- sensitive information and domain-dependent knowledge. This knowledge can be used to accelerate the learning speed and/or improve the quality of the knowledge induced. §A grammar-based genetic programming system called LOGENPRO (The LOGic grammar based GENetic PROgramming system) is detailed and tested on many problems in data mining. It is found that LOGENPRO outperforms some ILP systems. We have also illustrated how to apply LOGENPRO to emulate Automatically Defined Functions (ADFs) to discover problem representation primitives automatically. By employing various knowledge about the problem being solved, LOGENPRO can find a solution much faster than ADFs and the computation required by LOGENPRO is much smaller than that of ADFs. Moreover, LOGENPRO can emulate the effects of Strongly Type Genetic Programming and ADFs simultaneously and effortlessly. §Data Mining Using Grammar Based Genetic Programming and Applications is appropriate for researchers, practitioners and clinicians interested in genetic programming, data mining, and the extraction of data from databases.

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Data Mining Using Grammar Based Genetic Programming and Applications

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